Joakim Lundeberg

KTH Royal Institute of Technology

Sweden

Research Interests

Explore related searches

Professors in Sweden

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (17)

Richard Colling

University of Oxford

UNITED KINGDOM

View details

Ludvig Larsson

KTH Royal Institute of Technology

SWEDEN

View details

Bo Wang

Assistant Professor

Stanford University

UNITED STATES

View details

Gioele La Manno

Karolinska Institutet

SWEDEN

View details

Carolina Wählby

professor

Uppsala University

SWEDEN

View details

Elena Sopova

Karolinska Institutet

SWEDEN

View details

Yuhang Fan

Assistant Professor

The University of Illinois at Chicago

UNITED STATES

View details

Konstantinos Meletis

Professor

Karolinska Institutet

SWEDEN

View details

Marie Carlen

Karolinska Institutet

SWEDEN

View details

Tejaswi Badam

Karolinska Institutet

SWEDEN

View details

Alastair D. Lamb

UNITED KINGDOM

View details

Jose Fernandez Navarro

Karolinska Institutet

SWEDEN

View details

Kimmo Kartasalo

Karolinska Institutet

SWEDEN

View details

Oleg Shupliakov

Karolinska Institutet

SWEDEN

View details

Mengxiao He

KTH Royal Institute of Technology

SWEDEN

View details

Margherita Zamboni

Karolinska Institutet

SWEDEN

View details

kevin lebrigand

Institute of Pharmacology

FRANCE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Joakim Lundeberg

Research Interests

Explore related searches

Contact this professor

Articles (10)

Expansion spatial transcriptomics

The spatial landscape of gene expression isoforms in tissue sections

Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics

Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer

Spatially resolved transcriptomics adds a new dimension to genomics

Seamless integration of image and molecular analysis for spatial transcriptomics workflows

Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography

A latent lineage potential in resident neural stem cells enables spinal cord repair

Spatially Resolved Transcriptomes—Next Generation Tools for Tissue Exploration

Whole-genome sequencing and gene network modules predict gemcitabine/carboplatin-induced myelosuppression in non-small cell lung cancer patients

Collaborators (17)

Richard Colling

Ludvig Larsson

Bo Wang

Gioele La Manno

Carolina Wählby

Elena Sopova

Yuhang Fan

Konstantinos Meletis

Marie Carlen

Tejaswi Badam

Alastair D. Lamb

Jose Fernandez Navarro

Kimmo Kartasalo

Oleg Shupliakov

Mengxiao He

Margherita Zamboni

kevin lebrigand

Make your next move.